We analyse complex transactional and bookkeeping data from multiple perspectives and sources to identify potential fraud and misconduct as well as significant business risks. Findings are translated into business insights that can allow a company to manage potential threats before they occur and develop a proactive and preventive fraud detection environment.

The analysis is designed to provide a high-level overview and "health check" to identify risk areas that can be improved upon or investigated and analysed further to mitigate those risks and to prevent economic crime, misconduct, waste and abuse.

Our Solution

We analyse various areas of the organisation's ERP data including transactional and master data, to identify and report on potential high-risk transactions and accounts. This includes analysis of payment details, duplicate entries, posting texts, invoice workflow process, etc. to detect irregularities and deviations in data.

In Fraud Data Analytics, We Help Our Clients With:

✓ Payment detail analysis — Examining transactional breakdowns to uncover cash flow anomalies.
✓ Duplicate entry analysis — Detecting double payments or recurring suspicious claims.
✓ Outlier detection — Identifying transaction values or patterns that deviate from normal benchmarks.
✓ Known fraud patterns analysis — Mapping transactions against common financial crime schemes.
✓ Master data analysis — Verifying the authenticity of vendor, customer, and bank account records.
✓ Process analytics — Assessing operational workflows and invoice approvals to highlight control vulnerabilities.
✓ Textual analytics — Analyzing posting texts, descriptions, and notes to find indicators of manipulation.
✓ Change log analysis — Tracking system and master data modification histories to reveal unauthorized actions.

Need to Analyze Your Transaction Data Risks?

Leverage our Fraud Data Analytics solutions for proactive detection and prevention of economic crime.

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